Micro-Star International Co., Ltd. Raider GE78HX 13VI
Geekbench AI Score
3967
Single Precision Score
1343
Half Precision Score
5112
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 30 2024 10:26 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13980HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Micro-Star International Co., Ltd. Raider GE78HX 13VI |
| Motherboard | Micro-Star International Co., Ltd. MS-17S1 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13980HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1993
370.7 IPS |
|
|
Image Classification (HP)
|
100% |
435
80.8 IPS |
|
|
Image Classification (Q)
|
99% |
3656
681.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1976
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
847
13.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3372
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10071
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
4255
4.97 IPS |
|
|
Pose Estimation (Q)
|
95% |
28912
33.9 IPS |
|
|
Object Detection (SP)
|
100% |
2619
207.8 IPS |
|
|
Object Detection (HP)
|
100% |
586
46.5 IPS |
|
|
Object Detection (Q)
|
88% |
2118
169.8 IPS |
|
|
Face Detection (SP)
|
100% |
4565
54.2 IPS |
|
|
Face Detection (HP)
|
100% |
1545
18.4 IPS |
|
|
Face Detection (Q)
|
97% |
4444
53.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9192
70.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1790
13.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
9175
73.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21591
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
10675
13.7 IPS |
|
|
Style Transfer (Q)
|
98% |
25185
32.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3491
128.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1937
71.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4455
165.0 IPS |
|
|
Text Classification (SP)
|
100% |
1619
2.16 KIPS |
|
|
Text Classification (HP)
|
100% |
591
788.5 IPS |
|
|
Text Classification (Q)
|
97% |
1438
1.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
1818
31.3 IPS |
|
|
Machine Translation (HP)
|
100% |
619
10.7 IPS |
|
|
Machine Translation (Q)
|
60% |
2458
54.8 IPS |
